AI Engineer
Tasks
- Build production retrieval systems
- Create guardrails and cost controls
- Design and ship agentic workflows
- Implement AI quality evaluation and monitoring
- Mentor engineers and set technical direction
- Own AI systems end to end
- Raise architectural bar with reusable patterns
- Stand up self service AI and analytics layer
- Translate business problems into scoped technical work
Perks/Benefits
- 401k match
- Dental and vision coverage
- Employee Assistance Program (EAP)
- Employee discounts
- HSA contributions
- Life and AD D Insurance
- Medical coverage
- Paid parental leave
- Paid time off
Skills/Tech-stack
AWS | Agentic Workflows | Airflow | BigQuery | CI/CD | Caching | CrewAI | Cypher | DBT | DBT Cloud | Databricks | Docker | GitHub Actions | Hybrid search | Jenkins | Kubernetes | Langchain | Language Models | Large Language Models | Model Evaluation | Monitoring | Neo4j | Observability | PGVector | Pinecone | Prompt engineering | Prompt orchestration) | Python | React | Retrieval-Augmented Generation | SQL | Semantic Search | Serverless | Snowflake | Streamlit | Terraform | Tracing | Vector Search | Weaviate
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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